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Dana Stanley
Greenbook’s Chief Revenue Officer
Categories
Data Science
Data science involves extracting insights from complex and unstructured data, often using statistical, mathematical, and computational techniques. With the advent of big data, researchers must access even larger datasets to inform decision-making.
New Study Finds Marketing Leaders Need More Timely Data to Trust Intuition
New research reveals why marketing leaders still struggle to turn data into action, highlighting barriers that limit the impact of business intelligen...
Ali Henriques
Executive Director at Qualtrics Edge
Latest
Losing Insights to Boredom, Not Bots: Poor Respondent Experiences Are Killing Data Quality
Conversational survey design builds trust and boosts engagement, helping researchers move past fraud filters to uncover deeper, more authentic insight...
Jennifer Reid
Co-CEO and Chief Methodologist at Rival Group
Top Tips to Get Maximum Impact From Data Visualization
Data is powerful when understood. Learn top tips to create visualizations that spark curiosity, drive action, and elevate your research team’s impact.
Torbjörn Andersson
Managing Director for Market Research at Forsta
Synthetic Data – Introduction, Benchmarking Synthetic Data Quality: Metrics and Model Performance
Synthetic data is transforming market research with scalable, private, and cost-effective solutions, but fidelity and utility must be rigorously bench...
Abhishek Bhatia
Associate Director, Primary Research at Acuity Knowledge Partners
The Secret Life of Synthetic Data: Why It’s Taking Over Research
How market researchers are using Gen AI to generate synthetic data, accelerate insights, and unlock new use cases while protecting privacy.
Ashley Shedlock
Senior Content Coordinator at Greenbook
Crime Scenes & Clean Data: When Research Gets Real
From fraud-fighting tools to major mergers, discover how market researchers are protecting data qual...
The Power of Merging Data Sources for Deeper Consumer Insights
Learn how to uncover the "So what? Now what?" when using AI, helping drive action and insights as part of the shift toward data convergence.
John Bird
Executive Vice President at Infotools
Karen Lynch
Head of Content at Greenbook
Losing Insights to Boredom, Not Bots: Poor Respondent Experiences Are Killing Data Quality
Conversational survey design builds trust and boosts engagement, helping researchers move past fraud filters to uncover deeper, more authentic insight...
Jennifer Reid
Co-CEO and Chief Methodologist at Rival Group
Top Tips to Get Maximum Impact From Data Visualization
Data is powerful when understood. Learn top tips to create visualizations that spark curiosity, drive action, and elevate your research team’s impact.
Torbjörn Andersson
Managing Director for Market Research at Forsta
Synthetic Data – Introduction, Benchmarking Synthetic Data Quality: Metrics and Model Performance
Synthetic data is transforming market research with scalable, private, and cost-effective solutions, but fidelity and utility must be rigorously bench...
Abhishek Bhatia
Associate Director, Primary Research at Acuity Knowledge Partners
The Secret Life of Synthetic Data: Why It’s Taking Over Research
How market researchers are using Gen AI to generate synthetic data, accelerate insights, and unlock new use cases while protecting privacy.
Ashley Shedlock
Senior Content Coordinator at Greenbook
Crime Scenes & Clean Data: When Research Gets Real
From fraud-fighting tools to major mergers, discover how market researchers are protecting data qual...
The Power of Merging Data Sources for Deeper Consumer Insights
Learn how to uncover the "So what? Now what?" when using AI, helping drive action and insights as part of the shift toward data convergence.
John Bird
Executive Vice President at Infotools
Karen Lynch
Head of Content at Greenbook
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